Why the study?
Cardiac autonomic neuropathy is a common complication of diabetes, prompting the proposal of a novel multiscale cross-approximate entropy parameter to assess early nonlinear interactions between systolic blood pressure and ECG R-R intervals.
Does multiscale cross-approximate entropy (MS-CXApEn) detect early changes in cardiac autonomic neuropathy in diabetic rats?
Does multiscale cross-approximate entropy (MS-CXApEn) detect early changes in cardiac autonomic neuropathy in diabetic rats?
MS-CXApEn is a novel parameter that quantifies dynamic nonlinear interactions between systolic blood pressure and R-R intervals, showing promise for detecting early cardiac autonomic neuropathy in diabetes.
MS-CXApEn may detect early cardiac autonomic neuropathy in diabetic models; leaves open human validation and clinical utility.
Cardiac autonomic neuropathy (CAN) is a common complication of diabetes mellitus, and can be assessed using heart rate variability (HRV) and the correlations between systolic blood pressure (SBP) and ECG R-R intervals (RRIs), namely baroreflex sensitivity (BRS). In this study, we propose a novel parameter for the nonlinear association between SBP and RRIs based on multiscale cross-approximate entropy (MS-CXApEn). Sixteen male adult Wistar Kyoto rats were equally divided into two groups: streptozotocin-induced diabetes and age-matched controls. RRIs and SBP were acquired in control rats and the diabetic rats at the onset of hyperglycemia and insulin-treated euglycemia to determine HRV by the ratio of low-frequency to high-frequency power (LF/HF) and Poincaré plot as SSR (SD1/SD2), BRS, and MS-CXApEn. SSR and BRS were not significantly different among the three groups. The LF/HF was significantly higher in the hyperglycemic diabetics than those in the controls and euglycemic diabetic rats. MS-CXApEn was higher in the diabetic hyperglycemic rats than the control rats from scales 2 to 10, and approached the values of controls in diabetic euglycemic rats at scales 9 and 10. Conclusions: We propose MS-CXApEn as a novel parameter to quantify the dynamic nonlinear interactions between SBP and RRIs that reveals more apparent changes in early diabetic rats. Furthermore, changes in this parameter were related to correction of hyperglycemia and could be useful for detecting and assessing CAN in early diabetes.
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Liu et al. (2022) studied this question.
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